Code
Rows: 30,977
Columns: 14
$ `Domain Code` <chr> "QA", "QA", "QA", "QA", "QA", "QA", "QA", "QA", "QA…
$ Domain <chr> "Live Animals", "Live Animals", "Live Animals", "Li…
$ `Area Code` <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ Area <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afgha…
$ `Element Code` <dbl> 5112, 5112, 5112, 5112, 5112, 5112, 5112, 5112, 511…
$ Element <chr> "Stocks", "Stocks", "Stocks", "Stocks", "Stocks", "…
$ `Item Code` <dbl> 1057, 1057, 1057, 1057, 1057, 1057, 1057, 1057, 105…
$ Item <chr> "Chickens", "Chickens", "Chickens", "Chickens", "Ch…
$ `Year Code` <dbl> 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 196…
$ Year <dbl> 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 196…
$ Unit <chr> "1000 Head", "1000 Head", "1000 Head", "1000 Head",…
$ Value <dbl> 4700, 4900, 5000, 5300, 5500, 5800, 6600, 6290, 630…
$ Flag <chr> "F", "F", "F", "F", "F", "F", "F", NA, "F", "F", "F…
$ `Flag Description` <chr> "FAO estimate", "FAO estimate", "FAO estimate", "FA…
Code
Rows: 38,170
Columns: 14
$ `Domain Code` <chr> "QL", "QL", "QL", "QL", "QL", "QL", "QL", "QL", "QL…
$ Domain <chr> "Livestock Primary", "Livestock Primary", "Livestoc…
$ `Area Code` <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ Area <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afgha…
$ `Element Code` <dbl> 5313, 5410, 5510, 5313, 5410, 5510, 5313, 5410, 551…
$ Element <chr> "Laying", "Yield", "Production", "Laying", "Yield",…
$ `Item Code` <dbl> 1062, 1062, 1062, 1062, 1062, 1062, 1062, 1062, 106…
$ Item <chr> "Eggs, hen, in shell", "Eggs, hen, in shell", "Eggs…
$ `Year Code` <dbl> 1961, 1961, 1961, 1962, 1962, 1962, 1963, 1963, 196…
$ Year <dbl> 1961, 1961, 1961, 1962, 1962, 1962, 1963, 1963, 196…
$ Unit <chr> "1000 Head", "100mg/An", "tonnes", "1000 Head", "10…
$ Value <dbl> 4000, 25000, 10000, 4400, 25000, 11000, 4600, 25000…
$ Flag <chr> "F", "Fc", "F", "F", "Fc", "F", "F", "Fc", "F", "F"…
$ `Flag Description` <chr> "FAO estimate", "Calculated data", "FAO estimate", …
Code
Rows: 36,449
Columns: 14
$ `Domain Code` <chr> "QL", "QL", "QL", "QL", "QL", "QL", "QL", "QL", "QL…
$ Domain <chr> "Livestock Primary", "Livestock Primary", "Livestoc…
$ `Area Code` <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ Area <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afgha…
$ `Element Code` <dbl> 5318, 5420, 5510, 5318, 5420, 5510, 5318, 5420, 551…
$ Element <chr> "Milk Animals", "Yield", "Production", "Milk Animal…
$ `Item Code` <dbl> 882, 882, 882, 882, 882, 882, 882, 882, 882, 882, 8…
$ Item <chr> "Milk, whole fresh cow", "Milk, whole fresh cow", "…
$ `Year Code` <dbl> 1961, 1961, 1961, 1962, 1962, 1962, 1963, 1963, 196…
$ Year <dbl> 1961, 1961, 1961, 1962, 1962, 1962, 1963, 1963, 196…
$ Unit <chr> "Head", "hg/An", "tonnes", "Head", "hg/An", "tonnes…
$ Value <dbl> 700000, 5000, 350000, 700000, 5000, 350000, 780000,…
$ Flag <chr> "F", "Fc", "F", "F", "Fc", "F", "F", "Fc", "F", "F"…
$ `Flag Description` <chr> "FAO estimate", "Calculated data", "FAO estimate", …
Code
Rows: 1,943
Columns: 7
$ `Country Group Code` <dbl> 5100, 5100, 5100, 5100, 5100, 5100, 5100, 5100, 5…
$ `Country Group` <chr> "Africa", "Africa", "Africa", "Africa", "Africa",…
$ `Country Code` <dbl> 4, 7, 53, 20, 233, 29, 35, 32, 37, 39, 24, 45, 46…
$ Country <chr> "Algeria", "Angola", "Benin", "Botswana", "Burkin…
$ `M49 Code` <chr> "012", "024", "204", "072", "854", "108", "132", …
$ `ISO2 Code` <chr> "DZ", "AO", "BJ", "BW", "BF", "BI", "CV", "CM", "…
$ `ISO3 Code` <chr> "DZA", "AGO", "BEN", "BWA", "BFA", "BDI", "CPV", …
Code
Rows: 82,116
Columns: 14
$ `Domain Code` <chr> "QA", "QA", "QA", "QA", "QA", "QA", "QA", "QA", "QA…
$ Domain <chr> "Live Animals", "Live Animals", "Live Animals", "Li…
$ `Area Code` <dbl> 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, …
$ Area <chr> "Afghanistan", "Afghanistan", "Afghanistan", "Afgha…
$ `Element Code` <dbl> 5111, 5111, 5111, 5111, 5111, 5111, 5111, 5111, 511…
$ Element <chr> "Stocks", "Stocks", "Stocks", "Stocks", "Stocks", "…
$ `Item Code` <dbl> 1107, 1107, 1107, 1107, 1107, 1107, 1107, 1107, 110…
$ Item <chr> "Asses", "Asses", "Asses", "Asses", "Asses", "Asses…
$ `Year Code` <dbl> 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 196…
$ Year <dbl> 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 196…
$ Unit <chr> "Head", "Head", "Head", "Head", "Head", "Head", "He…
$ Value <dbl> 1300000, 851850, 1001112, 1150000, 1300000, 1200000…
$ Flag <chr> NA, NA, NA, "F", NA, NA, NA, NA, NA, NA, NA, NA, "F…
$ `Flag Description` <chr> "Official data", "Official data", "Official data", …
These data are “long” or “tidy”. Don’t worry if you don’t know what this means, yet - we haven’t gotten there in the course. Each row appears to compromise a case - a single measurement. A single row will contain a measurement of an agricultural product from a single year and in a single country.